For some experiments, we use off-the-shelf available pre-trained models for APC, Mockingjay, CPC, wav2vec and wav2vec 2.0 [1]}, [2]}. These models have been pre-trained on English audiobooks from LibriSpeech (LS-960) [3]}, LibriLight (LL-60k) [4]} or both, i.e. LibriVox (LV-60k) [5]}. The XLSR-53 model is trained on 56k hours of data from 53 different languages. The XLSR data originates from CommonVoice [6]}, Multilingual LibriSpeech [5]}, and BABEL [8]}. It includes around 1.6k hours of Dutch [9]} of which we recon only a very small part is Flemish Dutch (a few hours in CommonVoice). We also use a wav2vec 2.0 model pre-trained on the Dutch part of VoxPopuli (VP-NL-4.5k) [10]}, which contains 4.5k hours of Netherlands Dutch speech recordings from the European parliament.
